2 citations · 2 across the 2 of their papers we have counts for
3 papers
MultiCalib4DEB: A toolbox exploiting multimodal optimisation in Dynamic Energy Budget parameters calibration
Juan Francisco Robles, Manuel Chica, Ramón Filgueira +2
Calibration is a crucial step for the validation of computational models and a challenging task to accomplish. Dynamic Energy Budget (DEB) theory has experienced an exponential ris…
TSFEDL: A Python Library for Time Series Spatio-Temporal Feature Extraction and Prediction using Deep Learning (with Appendices on Detailed Network Architectures and Experimental Cases of Study)
Ignacio Aguilera-Martos, Ángel M. García-Vico, Julián Luengo +4
The combination of convolutional and recurrent neural networks is a promising framework that allows the extraction of high-quality spatio-temporal features together with its tempor…
moGrams: a network-based methodology for visualizing the set of non-dominated solutions in multiobjective optimization
Krzysztof Trawiński, Manuel Chica, David P. Pancho +2
An appropriate visualization of multiobjective non-dominated solutions is a valuable asset for decision making. Although there are methods for visualizing the solutions in the desi…